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We dont fully understand human biology. Not proteins, or cells or tissuesand certainly not how they all interact in the dynamic systems that make up our body. I believe AI is the answer to that problem. It offers the promise of a step-change in data analysis and eventually will understand our bodies processes at a fundamental level. It will solve biology. But it cant be done by generalist large language models (LLMs) like ChatGPT. Were going to need domain-specific agentic software that plans, acts, and adapts. The sort of AI that can support us across messy, multimodal workflows inherent to biological research. This is how we unlock the medicines and treatments that society needs to tackle the most urgent diseases on our doorstep. But how much does the pharmaceutical industry agree with this? How do they see agentic AI? We commissioned a report, uncovering what 202 members of the pharmaceutical industry, chosen from various roles across the U.S. and Europe, expect from agentic AI. The data is clear, and sometimes surprising: When it comes to agentic AI, the industry is convinced, but cautious. Success will hinge on fixing data fundamentals, building trust, and meeting people where they work. WHAT IS AGENTIC AI GOOD FOR? Here are the two most important areas we identified where pharma believes agentic AI can add value. First is in handling data. The unsexy stuff: harmonizing, cleaning, and stitching data across different data modalities. If an agent can make siloed patient data analysis-ready in a secure manner, thats the bedrock for further advances. The second is in early target discovery. Agentic AI can autonomously scan literature and datasets to form hypotheses on its own, then test them in robotic lab settings. This will speed up drug pipelines and improve the probability of success of clinical trials. But theres a divide in enthusiasm for agentic AI. Executives love it (79.4% of C-level executives and vice presidents rated it very important or top priority). But on the front lines, scientists and analysts are more reserved. I read this as a demand signal. AI agents must deliver measurable gains for enthusiasm at the top to become adopted at the bench. Its a classic pattern for when a new platform hits enterprise: Vision sells the first pilot, but only reductions in timetoinsight and insight quality improvements scale it. And of course pharmas appetite will depend on the cost of the meal. Perhaps surprisingly, we found a meaningful slice of enterprises allocating eightfigure budgets to agentic AI implementation. But others havent even named a line item yet. I think that will give us a twospeed market: Fast movers with a budget to match will standardize on an agentic backbone; cautious adopters will pilot targeted use cases with clear ROI. Agentic AI providers offering onramps, i.e. start small, scale to enterprise, will win. TRUST NEEDS TO BE EARNED But none of this matters if users cant trust what their AI is telling them. And there is still work to do to convince industry users. Only half of the respondents would trust an AI to give them consistently correct answers. And that drops to 40% for making decisions about a drug pipeline, or even protecting intellectual property. There are different ways to read this. ChatGPT has a reputation for hallucinating responses. Biotech has so far failed to bring a completely novel, AI-discovered target to market. Perhaps the technology is just not mature enough to be trusted with the big decisions? Even if that is true now, the AI industry is like a French cheeseit matures quickly. For example, standard large language models (the basis of agentic systems) fail at complex biological reasoning. But recent research shows they can be dramatically improved through specific reinforcement training. My take is that agentic has a communication issue rather than a technical one. Agentic AI has moved so quickly that the details of what it can and cant do can appear fuzzy. Pharmaceutical executives are masters of decision making based on data analysis. There simply isnt enough well-articulated information out there for them to make a firm decision on agentic AI yet. Even the enthusiastic early adopters may flinch at being asked to trust an unproven, poorly understood, agentic system with their crown jewels. WALK THE WALK, THEN TALK ABOUT IT What our report says to me is that we need to put more work into explaining and demonstrating what agentic AI can do, and what it cant do (yet). We need to show clear proof points, minus the hypebut that must be in the real world, not confined to academic publications. For pharmaceutical companies to truly buy into what we believe, the products need to speak for themselves. Were on the cusp of a great shift in the way the pharmaceutical industry works. Those that can show that agentic technology works will reap the rewards. Thomas Clozel is cofounder and CEO of Owkin.
Category:
E-Commerce
Walmart will be putting millions of sensors on its pallets across its supply chain chain, in a move that technology partner Wiliot is calling “the first large-scale deployment of ambient Internet of Things (IoT)” sensors in the retail industry. The technology is currently deployed in 500 Walmart locations, and the retail giant plans to expand nationwide in 2026. The ambient IoT sensors are battery-free and operate by harvesting energy from sources such as radio waves, light, motion, and heat, according to CNBC. The wide rollout will cover 4,600 Walmart Supercenters, Neighborhood Markets, and over 40 distribution centers, generating high-resolution supply chain data that feeds into Walmart’s AI systems. The retail giant has one of the biggest supply chain networks in the U.S. “We’re not only optimizing our supply chain to make faster, smarter inventory decisions, but we’re also tackling one of the hardest problems in retailknowing exactly what we own and where it is at any given moment,” Greg Cathey, Walmart senior vice president of transformation and innovation, said in a statement. “This enhanced visibility helps us deliver the consistent value, quality, and experience our customers expect.” With this move, the Bentonville, Arkansas-based retail giant is aiming to improve its supply chain efficiency, accuracy about its inventory, and cold chain compliance, with real-time insights on what merchandise is owned and where it is at any moment. Walmart financials Shares of Walmart (WMT) were up over 1% by the close of the market on Wednesday. The retail giant’s fiscal second quarter earnings report for 2026 included $116.9 billion in revenue, an increase of $2.7 billion, or 2.3%, over last year. Consolidated net income was $4.1 billion, up 1.3%, and diluted earnings per share (EPS) was $1.24, a 5.1% increase compared to $1.18 last year.
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E-Commerce
An investor group including BlackRock, Microsoft, and Nvidia is buying one of the world’s biggest data center operators with nearly 80 facilities in a deal worth $40 billion to secure coveted computing capacity for artificial intelligence. The purchase of U.S.-based Aligned Data Centers from Australian Macquarie Asset Management on Wednesday is the first deal for the AI Infrastructure Partnership formed last year which includes Abu Dhabi-based fund MGX and Elon Musk’s startup xAI among its backers. “With this investment in Aligned Data Centers, we further our goal of delivering the infrastructure necessary to power the future of AI,” said BlackRock CEO Larry Fink, who also serves as the chairman of the AI Infrastructure Partnership. Deals to snap up chips and infrastructure The acquisition is the latest in a series of big-ticket deals involving Big Tech and Silicon Valley startups that have been fueled by the boom in AI. Major tech companies including Alphabet, Amazon.com, Meta, Microsoft, and CoreWeave, are on track to spend $400 billion on AI infrastructure this year, Morgan Stanley estimates. OpenAI, the startup at the heart of the AI boom, struck deals in recent weeks with chipmakers Nvidia, Advanced Micro Devices, and Broadcom that may cost over $1 trillion to secure about 26 gigawatts of computing capacity, enough to power roughly 20 million U.S. homes. Meta Platforms is building several multi-gigawatt AI data centers, including one called Prometheus due to come online in 2026 and another, Hyperion, that can scale up to 5 gigawatts. Privately-held Aligned Data Centers currently has over 5 gigawatts of operational and planned capacity located across 50 campuses in the U.S. and Latin America. Joe Tigay, portfolio manager at Nvidia shareholder Equity Armor Investments, said the acquisition highlights the growing value of data center assets for investors. “Theyre looking at rapid expansion to meet AI demand and optimize for it.” Spending surge as interest booms Founded in 2013, Aligned has been a big winner of the AI infrastructure spending boom, raising $12 billion in equity and debt earlier this year in one of the largest private capital injections into a data center company. Its customers include cloud-computing platform Nutanix and IT services provider Datto, according to its website. The company also has a land portfolio with access to significant near-term power capacity in key markets, said Macquarie, which first invested in the company in 2018. Shares of its publicly listed rivals, such as Applied Digital, have soared more than four-fold this year. Applied Digital shares jumped 5% on Wednesday. The investment group buying Aligned, which also includes Kuwait Investment Authority and Singapore state-owned investor Temasek as backers, has an initial target of deploying $30 billion of equity capital, with the potential of reaching $100 billion including debt. It has not disclosed how much each partner has contributed to the group nor the equity value of Wednesday’s deal. Nvidia and Aligned declined to comment, while the investors did not immediately respond to requests seeking more details on the deal. “All the major parties in that consortium, they are showing the strength of the AI ecosystem,” said Hendi Susanto, portfolio manager at Nvidia investor Gabelli Funds. Aligned will remain headquartered in Dallas, Texas, under CEO Andrew Schaap when the deal closes in the first half of 2026, the investor group said in its statement. Arsheeya Bajwa and Aditya Soni, Reuters
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E-Commerce
With every passing day of the government shutdown, hundreds of thousands of federal employees furloughed or working without pay face mounting financial strain. And now they are confronting new uncertainty with the Trump administration’s promised layoffs. Little progress has been made to end the shutdown as it enters its third week, with Republicans and Democrats digging in and convinced their messaging is resonating with voters. The fate of the federal workers is among several pressure points that could eventually push the sides to agree to resolve the stalemate. Luckily, I was able to pay rent this month, said Peter Farruggia, a furloughed federal worker. But for sure I am going to have bills that are going to go unpaid this month, and I really dont have many options. The shutdown has a familiar feel for many federal employees who endured past stalemates including during President Donald Trumps first term but this time, the stakes are higher. The Republican White House is leveraging federal workers jobs to pressure Democrats to soften their demands. The shutdown began on Oct. 1 after Democrats rejected a short-term funding fix and demanded that the bill include an extension of federal subsidies for health insurance under the Affordable Care Act. Trump and other Republican leaders have said the government must reopen before they will negotiate with Democrats on the health subsidies. Trump administration launches wave of layoffs Farruggia is the executive committee chair of the American Federation of Government Employees Local 2883, representing employees at the Centers for Disease Control and Prevention, an agency that faced a wave of layoffs over the weekend. Like 8,000 other CDC employees who have been furloughed from the agency, he was already living paycheck to paycheck, and the partial pay that arrived Friday was his last until the government comes back online. With the agency’s leadership in turmoil and still rattled from a shooting, the shutdown and new firings mean people are scared, nervous, anxious, but also really just exasperated, Farruggia said. After Russ Vought, the director of the Office of Management and Budget, said last week on social media that the RIFs have begun, referring to reduction-in-force plans aimed at reducing the size of the federal government, Vice President JD Vance doubled down on the threat Sunday, saying the longer this goes on, the deeper the cuts are going to be.” The layoffs have begun across federal agencies. Labor unions have already filed a lawsuit to stop the move by Trumps budget office. In a court filing on Friday, the Office of Management and Budget said well over 4,000 federal employees from eight departments and agencies would be fired in conjunction with the shutdown. Jessica Sweet, an Albany, New York, Social Security claims specialist who is a union steward of AFGE Local 3343 in New York, said, I, myself, have a backup plan in case she is fired during the shutdown, but I know most people don’t. She says the Social Security Administration is already so short-staffed from layoffs earlier this year brought on by the Department of Government Efficiency, she doesn’t fear a massive layoff during the shutdown. The one thing this administration has taught me is that nothing is ever for certain, even if it’s codified into law,” she said. Having received a partial payment in her last paycheck, Sweet has begun reaching out to her local power companies to request that she not get charged late fees, since my bills won’t wait for me to eventually get paid. Shutdown drags on, and frustration grows For some federal workers, this isnt their first shutdown the last one, during Trumps first term in 2019, stretched a record 34 days. But this time, federal employees are being used more directly as leverage in the political fight over government funding. The Republican administration last week warned that there would be no guaranteed back pay for federal workers during a shutdowna reversal of long-standing policy affecting roughly 750,000 furloughed employees, according to a White House memo. The move, which Trump later backtracked on, was widely seen as a strong-arm tactic. Adam Pelletier, a National Labor Relations Board field examiner whose agency furloughed nearly all of its workforce on Oct. 1, going from roughly 1,100 workers to fewer than a dozen people, said he wouldn’t mind if the shutdown continued if it meant meaningful progress toward gaining health care protections for Americans across the country a key demand by Democrats for ending the stalemate. Pelletier, a union leader for NLRB local 3, said, Right now, nothing is being investigated at the NLRB. Theres no elections for unions or elections for decertifications. Basically, nothing is happening. As for the financial strain on workers, he said workers can’t even find alternate employment to weather the shutdown because “the ethics office that would approve of those requests is not staffed now.” Workers used as political pawns National Treasury Employees Union President Doreen Greenwald, which represents workers across dozens of federal agencies, said several of the union’s members had been laid off as of Friday. The Treasury Department would lose 1,446 workers, according to the filing. Greenwald said it was unfortunate that the Trump administration was using federal employees as political pawns by furloughing and proposing to fire them all to try to cuse pressure in a political game of chicken. This isnt about one party or the other. Its about real people, said Everett Kelley, president of the American Federation of Government Employees. The correction officer worrying about his next paycheck. The TSA officer who still shows up to work because he or she loves their country, even though theyre not getting paid. No American should ever have to choose between serving their country and feeding their family, Kelley said. Kelley and other major federal worker union leaders gathered blocks from the Capitol last week, urging congressional leaders to find a solution and put people over politics. The event grew emotional at times, with union heads outlining the difficulties facing their members and the stakes growing daily. Randy Erwin, president of the National Federation of Federal Employees, which represents 110,000 workers nationwide, called on both sides of Congress to find a resolution. He said Trump appeared to aim to degrade, frighten, antagonize hardworking federal employees. Chris Bartley, political program coordinator for the International Association of Fire Fighters, said thousands of firefighters were showing up for work without pay out of a sense of devotion but stressed that could have broader consequences. Families go without income,” Bartley said. Morale and retention suffer. Public safety is compromised. Fatima Hussein, Joey Cappelletti, Jesse Bedayn, and Safiyah Riddle, Associated Press
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E-Commerce
When you type a question into an AI search engine like ChatGPT or Google AI Mode and it comes up with an answer, that information comes from somewhere. Scouring the web for content thats contextually relevant to the asker, it typically assembles an answer based on several different sources, interpreted through the lens of its training data and system prompt. The fight over being one of those sources is the new game of online discovery thats replacing SEO. Typically called GEO or AEO for generative/answer engine optimization, the field is nascent, and the rules, best practices, and even the benefits arent entirely clear. Theres one thing everyone agrees on, though: Its growing rapidly. Growth markets are opportunities, so even if the rewards of appearing in AI search havent been fully established, both media companies and marketers want to understand GEO and potentially crack the code on being the answer, or at least fuel for the answer. The precise methodshow content optimization differs from SEO, how to leverage social and PR to improve your chances of appearing, how to build a system for understanding AI queriesare promising, but still being worked out. {"blockType":"creator-network-promo","data":{"mediaUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/03\/mediacopilot-logo-ss.png","headline":"Media CoPilot","description":"Want more about how AI is changing media? Never miss an update from Pete Pachal by signing up for Media CoPilot. To learn more visit mediacopilot.substack.com","substackDomain":"https:\/\/mediacopilot.substack.com\/","colorTheme":"blue","redirectUrl":""}} Also being worked out? What to do when you win. The AI search rewards system The rewards for winning at search were clear. Earning a high rank in search results means people click to your site, interact with your content, and either give you ad impressions or convert into some kind of paying customer. As Ive written before, being cited in AI answers is more akin to advertising your brand than a viable business strategy. A win in GEO means successful reputation management. This of course is why many publishers prefer to block AI crawlers from indexing their sites at all. They may want to understand GEO, but theyre not interested in having their content serving as raw material for an AI layer they feel they have no stake in (licensing deals notwithstanding). For sites that do appear in AI search, willingly or unwillingly, a win means readers perceive your publication to be more authoritative. So what happens when you losesay, your competition gets cited instead of you? For both media and marketers, its a missed opportunity for your brand to appear in front of someone interested in your area of expertise. What is the value of that? Its easy to point at ChatGPTs 800+ million users and think its a lot, and it might be, but remember: queries arent the same as search terms. Theyre much more specific, and the tools for analyzing them are in the very early stages. Its difficult to understand if youre optimizing for an audience of one or one million. When the answer is wrong Theres another kind of loss that brands are finding intolerable: incorrect or damaging information in AI answers. This is becoming a more serious problem than when it happens in traditional search because its difficult to fix. An AI answer is amalgamated from several different sources, so the precise ranking of those sourcesranking is a huge deal in SEOdoesnt matter as much as the bad information simply being present. Worse, that information may be on Wikipedia or Reddit, two sites that are based on user-generated content, have byzantine systems for how content is created and promoted, and are newly influential in the age of AI. Since they are both huge repositories of human-created text on myriad topics, theyre extremely valuable to data-hungry large language models, and the big AI companies have awarded them a kind of favored status. Reddit, notably, has used this as leverage to negotiate deals with Google and OpenAI worth tens of millions every year. All of which is to say that dealing with a reputational problem in AI search is a new kind of difficult-to-crack crisis. At the recent MarCom Summit in Washington, D.C., marketers who specialize in dealing with problematic content on Wikipedia or Reddit told me theyre newly busy this past year. Who will benefit from ads in AI search? So at least one kind of business is making money from GEO. For everyone else, theyll likely have to wait until AI answers begin to incorporate ads in a meaningful way. This is inevitableChatGPT may have almost a billion users, but most arent paying a dime. Thats a massive untapped revenue stream. Perplexity has been experimenting with ads in answers for a year, and Google is slowly stapling ads into its AI experiences, too. Skeptics roll their eyes at AI answers adopting an advertising business model, criticizing the companies for being less interested in solving societal problems than making money from user attentionthe same old Silicon Valley playbook. However, there’s another perspective: You know how AI summaries provide links to sources? That same attribution can be used to apportion the revenue from any ads in the summary to those same sources. The AI media tech startup Dappier is building such a system, splitting revenue from ads in the answer with everyone who contributed to it. So while I understand the cynicism about advertising coming to AI engines, I cant help but be a little bit hopeful about it. Yes, ads are certainly coming to AI search, but the search engines might not necessarily hog all the rewards. Will there be enough money to go around? Not yet. But like I said, its a growth market. {"blockType":"creator-network-promo","data":{"mediaUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/03\/mediacopilot-logo-ss.png","headline":"Media CoPilot","description":"Want more about how AI is changing meda? Never miss an update from Pete Pachal by signing up for Media CoPilot. To learn more visit mediacopilot.substack.com","substackDomain":"https:\/\/mediacopilot.substack.com\/","colorTheme":"blue","redirectUrl":""}}
Category:
E-Commerce
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